Adaptive market hypothesis and evolving predictability of bitcoin

By S. Khuntia, J. K. Pattanayak. Economics Letters, 2018

202 citations recorded by the source corpus.

This study evaluates the adaptive market hypothesis (AMH) and evolving return predictability in bitcoin market. We use two robust methods in a rolling-window framework to capture time-varying linear and nonlinear dependence in bitcoin returns. We find that market efficiency evolves with time and validates the AMH in bitcoin market.

Subfields: Economics and Econometrics, Information Systems

View Paper: https://www.semanticscholar.org/paper/0a7dc72b8e07e2622b47ecfedd9693ccfd0ba3dc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

  1. Emmanouil Platanakis
  2. M. Gronwald
  3. Andrew Urquhart
  4. Charles M. S. Sutcliffe
  5. David Martínez-Rego
  6. Carmine Ventre
  7. Leslie Kanthan
  8. Lingbo Li

In Information Systems

  1. Emmanouil Platanakis
  2. M. Gronwald
  3. Andrew Urquhart
  4. Charles M. S. Sutcliffe
  5. David Martínez-Rego
  6. Carmine Ventre
  7. Leslie Kanthan
  8. Lingbo Li

Citations in the corpus